Comparison the effect of MQL, wet and dry turning on surface topography, cylindricity tolerances and sustainability

Soroush Masoudi,Mohammad Javad Esfahani,Farshid Jafarian,Seyed Ali Mirsoleimani 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.1

The increasing needs for the production of high quality parts require the use of new techniques to produce parts with higher precision. One of these modern techniques is minimum quantity lubricant (MQL) machining. In this paper, the effects of MQL, wet and dry machining on surface characteristic and geometric tolerances in turning of parts made of AISI 1045 steel were investigated. The influences of machining parameters i.e. feed rate and cutting speed as well as MQL parameters, namely air pressure and flow rate on surface topography, cutting force and cylindricity tolerance were studied. In addition, dry, wet, and MQL machining were compared to study the performance of different cooling systems. In the final step, the Pugh matrix approach was implemented to compare different cooling strategies in terms of sustainable production. According to the obtained results, MQL machining significantly improved the output parameters in AISI 1045 steel turning. By using MQL system, not only was the topography of machined surfaces improved and parts with tighter tolerances produced, but sustainability criteria were also improved. Based on sustainability assessment results, MQL turning was superior to wet and dry conditions in terms of the environmental impact, operator heath, manufacturing economy and production efficiency.

Integration of GIS and analytical hierarchy process method for locating road emergency medical services station

Soroush Maghsoudy,Ali Mansour Khaki,Barat Mojaradi,Behrooz Ghobadipour,Fereydoun Naghibi 한국자원공학회 2015 Geosystem engineering Vol.18 No.2

This article describes the application of a well-known multi-criteria decision-making technique called analytical hierarchy process (AHP) to locate emergency medical service (EMS) along US interstate highway I-65 from Montgomery to Birmingham, Alabama. Five weighting methods were applied, including Row Sum, Column Sum, Arithmetic Average, Geo-Mean, and Eigen Vector to determine weights of criteria. A number of experts were asked to evaluate the importance of selected criteria according to a nine-point scale (the Saaty rating scale). Afterwards, a weighted overlay method was applied to evaluate pixel adequacy and to identify areas with highest potential to establish the EMS along the road. After that all alternatives were ranked with the AHP method, and finally, sensitivity analysis of criteria weights was performed. The proposed method shows that locating EMS stations is very sensitive to Distance to City, Distance to Intersection, and Distance to Police Station criteria weights, and it should be considered in selecting experts and criteria weighting process.

99mTc-PSMA Left Behind: a Call for Collaboration

Soroush Zarehparvar Moghadam,Emran Askari,Kamran Aryana 대한핵의학회 2022 핵의학 분자영상 Vol.56 No.4

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Innovative Mobile TMD System for Semi-active Vibration Control of Inclined Sagged Cables

Soroush Salari,Sajad Javadinasab Hormozabad,Amir K. Ghorbani-Tanha,Mohammad Rahimian 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.2

In this study an innovative mobile Tuned Mass Damper (TMD) system is proposed which enables the TMD device to move along the cable and optimize its position. A three dimensional model of an inclined cable with sag is created using OpenSees. A mobile TMD device incorporating a semi-active Magnetorheological (MR) damper is implemented. Nine different control strategies, including six fuzzy strategies as well as a continuous sky-hook, an on-off sky-hook, and a passive-on strategy, are employed for the purpose of vibration mitigation. A locating algorithm is also devised so as to optimize the TMD position. A specific load pattern containing a chirp signal is utilized with the purpose of performing the nonlinear time history analyses. The results investigate the efficiency of different control systems in a comparative manner. The effect of locating algorithm is also examined. The results claim that although the suggested control systems can effectively reduce the displacements of the cable, they are relatively incompetent to make a remarkable reduction in maximum and normed values of the cable tension. The output data certify the significant contribution of LA for promoting the performance of control systems. This algorithm especially influences the reduction of normed values of displacement. In general, the fuzzy control algorithms show a much higher performance compared with the passive-on and sky-hook counterparts.

Isobutane aromatization in the presence of propane as a co-reactant over H-ZSM-5 catalysts using different crystallization times

Soroush Baradaran,Morteza Sohrabi,Parsia Moghimpour Bijani,Sayed Javid Royaee 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.27 No.-

Co-Aromatization of isobutane and propane over H-ZSM-5 and Zn/ZSM-5 catalysts prepared by differentcrystallization time ranging from 24 h to 96 h at 180 8C was studied. The samples were characterized viaXRD, BET, SEM and NH3-TPD. A maximum for crystallinity was observed at 72 h with 98% and Acidityalong with crystal size increased with time. Performance tests in a fixed bed reactor at 550 8C showedthat catalytic activity increased with crystallization time while the aromatics selectivity increased withcrystallinity. The results also indicated that conversion of propane in the presence of isobutane wasdramatically lower than individual propane test.

Fundamental and recent progress on the strengthening strategies for fabrication of polyacrylonitrile (PAN)-derived electrospun CNFs: Precursors, spinning and collection, and post-treatments

Soroush Soltani,Nasrin Khanian,Taha Roodbar Shojaei,Thomas Shean-Yaw Choong,Nilofar Asim 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-

Thus far, polyacrylonitrile (PAN)-derived electrospun CNFs with smooth and uniform cross-sections withvarious morphologies and structures were massively fabricated. There is no denying the fact that themechanical strength of CNFs is restricted which has been the main obstacle toward being highly applicablefor a broad range of applications. Based on recent fundings, these limitations can be simply overcomeover different synthesis stages consisting of the precursor strategy, spinning and collectionmethods, post-treatment processes such as stretching and aligning, and complex post-thermal procedureslike stabilization and carbonization. This paper aims to fundamentally review the mechanical characteristicsof CNF nanocomposites and systematically summarize the possible strengthening strategiesfor further development over every stage of the fabrication procedure.

Application of three-dimensional modified inclined braces to control soft-story buildings

Soroush Nodehi,Seyed Mehdi Zahrai 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.83 No.6

Despite its disadvantages, soft story can reduce the damage to the upper floors by concentrating drift in that specific story provided that large drifts are avoided. Gapped-Inclined Brace (GIB) with reduced P-delta effects and the control of soft story stiffness makes it possible to take advantage of the soft story in buildings and increase their capacity for energy dissipation. OpenSees software is used in this study to validate and modify the GIB model’s shortcomings. Also, the analysis method for this element is changed for design. The modified element is evaluated in 3D analysis. Finally, to retrofit an existing building, this element is used. Based on the Iranian seismic code, a six-story reinforced concrete building is modelled and studied with 3D analysis. In this building, the construction shortcomings and elimination of infills on the ground floor cause the formation of a soft story. Results of nonlinear static analysis, nonlinear dynamic, and incremental dynamic analysis using both components of seismic acceleration applied to the structure at different angles and the fragility curves indicate the improvement of the retrofitted structure’s performance using the modified element to reach the required performance level following the retrofit code.

PCA-based neuro-fuzzy model for system identification of smart structures

Soroush Mohammadzadeh,Yeesock Kim,안재훈 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.4

This paper proposes an efficient system identification method for modeling nonlinear behaviorof civil structures. This method is developed by integrating three different methodologies: principalcomponent analysis (PCA), artificial neural networks, and fuzzy logic theory, hence named PANFIS(PCA-based adaptive neuro-fuzzy inference system). To evaluate this model, a 3-story building equippedwith a magnetorheological (MR) damper subjected to a variety of earthquakes is investigated. To train theinput-output function of the PANFIS model, an artificial earthquake is generated that contains a variety ofcharacteristics of recorded earthquakes. The trained model is also validated using the1940 El-Centro, Kobe,Northridge, and Hachinohe earthquakes. The adaptive neuro-fuzzy inference system (ANFIS) is used as abaseline. It is demonstrated from the training and validation processes that the proposed PANFIS model iseffective in modeling complex behavior of the smart building. It is also shown that the proposed PANFISproduces similar performance with the benchmark ANFIS model with significant reduction ofcomputational loads.

The Role of Oral Contraceptive Pills on Increased Risk of Breast Cancer in Iranian Populations: A Meta-analysis

Ali Soroush,Negin Farshchian,Saeid Komasi,Neda Izadi,Nasrin Amirifard,Afshar Shahmohammadi 대한암예방학회 2016 Journal of cancer prevention Vol.21 No.4

Background: Cancer is one of the main public health issues in the world. Breast cancer is one of the most common types of cancer among women. It is also the second cause of mortality in women. The association between the use of oral contraceptive pills and breast cancer is controversial and a main issue in public health. Some findings have shown that taking these pills does not have a significant effect in increasing the risk of breast cancer, while others have confirmed the carcinogenic effect of these products. These contradictory findings necessitated this meta-analysis, through of all correlated studies in Iran. Methods: All published studies were considered from June 2000 until June 2015, using reliable Latin databases like PubMed, Google Scholar, Google search, Scopus, and Science Direct, and Persian database like SID, Irandoc, IranMedex, and Magiran. Finally, 26 papers were selected: 24 studies were case control while two were population based studies. A total of 26 papers with 46,260 participants were assessed since 2001. Results: Overall estimate of OR for the effect of oral contraceptive pills on breast cancer is 1.521 (CI = 1.25-1.85), which shows that the intervention group had more chance (52%) compared to the control group (P = 0.001). Using these pills increased the risk of breast cancer up to 1.52 times. Conclusions: Because of directly increasing levels of estrogen and the role of estrogen in gaining weight indirectly, oral contraceptive pills can stimulate the occurrence of breast cancer. More studies should be conducted for controlling the period of pill use.

PCA-based neuro-fuzzy model for system identification of smart structures

Mohammadzadeh, Soroush,Kim, Yeesock,Ahn, Jaehun Techno-Press 2015 Smart Structures and Systems, An International Jou Vol.15 No.4

This paper proposes an efficient system identification method for modeling nonlinear behavior of civil structures. This method is developed by integrating three different methodologies: principal component analysis (PCA), artificial neural networks, and fuzzy logic theory, hence named PANFIS (PCA-based adaptive neuro-fuzzy inference system). To evaluate this model, a 3-story building equipped with a magnetorheological (MR) damper subjected to a variety of earthquakes is investigated. To train the input-output function of the PANFIS model, an artificial earthquake is generated that contains a variety of characteristics of recorded earthquakes. The trained model is also validated using the1940 El-Centro, Kobe, Northridge, and Hachinohe earthquakes. The adaptive neuro-fuzzy inference system (ANFIS) is used as a baseline. It is demonstrated from the training and validation processes that the proposed PANFIS model is effective in modeling complex behavior of the smart building. It is also shown that the proposed PANFIS produces similar performance with the benchmark ANFIS model with significant reduction of computational loads.